Top Papers
Investigating Quantum Approximate Optimization Algorithms under Bang-bang Protocols
google-research/google-research
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The quantum approximate optimization algorithm (QAOA) is widely seen as a possible usage of noisy intermediate-scale quantum (NISQ) devices.
Quantum Physics
Explaining reaction coordinates of alanine dipeptide isomerization obtained from deep neural networks using Explainable Artificial Intelligence (XAI)
marcotcr/lime
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A method for obtaining appropriate reaction coordinates is required to identify transition states distinguishing product and reactant in complex molecular systems.
Chemical Physics Soft Condensed Matter
Exact and practical pattern matching for quantum circuit optimization
An important building block for many quantum circuit optimization techniques is pattern matching, where given a large and a small quantum circuit, we are interested in finding all maximal matches of the small circuit, called pattern, in the large circuit, considering pairwise commutation of quantum gates.
Quantum Physics Data Structures and Algorithms
Optimal synthesis into fixed XX interactions
We describe an optimal procedure, as well as its efficient software implementation, for exact and approximate synthesis of two-qubit unitary operations into any prescribed discrete family of XX-type interactions and local gates.
Quantum Physics Symplectic Geometry 81Q99, 53D45
Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers
Our goal is to mitigate the application impact of crosstalk noise through software techniques.
Quantum Physics Emerging Technologies
Modified Shallow Water Equations for significantly varying seabeds
The novel system is a non-dispersive non-hydrostatic extension of the classical Saint-Venant equations.
Classical Physics Analysis of PDEs Numerical Analysis Computational Physics Fluid Dynamics
TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models
We use the MERA to approximate the ground state wave function of the infinite, one-dimensional transverse field Ising model at criticality, and extract conformal data from the optimized ansatz.
Computational Physics
Entangling Quantum Generative Adversarial Networks
Generative adversarial networks (GANs) are one of the most widely adopted semisupervised and unsupervised machine learning methods for high-definition image, video, and audio generation.
Quantum Physics
OpenFermion: The Electronic Structure Package for Quantum Computers
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices.
Quantum Physics Chemical Physics Computational Physics
A quantum-classical cloud platform optimized for variational hybrid algorithms
In order to support near-term applications of quantum computing, a new compute paradigm has emerged--the quantum-classical cloud--in which quantum computers (QPUs) work in tandem with classical computers (CPUs) via a shared cloud infrastructure.
Quantum Physics Emerging Technologies
